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341
Processing of Polymers Stress Relaxation Curves Using Machine Learning Methods
Published 2023-12-01“…The total number of numerical experiments for all samples was 346020 variations. When developing the models, CatBoost artificial intelligence methods were used, regularization methods (Weight Decay, Decoupled Weight Decay Regularization, Augmentation) were used to improve the accuracy of the model, and the Z-Score method was used to normalize the data. …”
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342
Review on the Digitalization and Intelligent Development of Physical Simulation Methods for Hydraulic Fracturing
Published 2025-04-01“…Therefore, there is an urgent need to develop digital and intelligent technologies to enhance the accuracy of hydraulic fracturing physical simulation methods. Systematically investigated the method principle, research status and development direction of digital core reconstruction, acoustic emission positioning and distributed optical fiber monitoring, explored the data acquisition, fracture reconstruction and data interpretation in the process of multi⁃method joint monitoring experiment, and clarified the sample preparation, method combination and application scope in hydraulic fracturing physical simulation. …”
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343
Modern methods of analysis and instruments measuring sorption properties of magnetic sorbents
Published 2017-06-01“…Obtaining accurate and reliable results of the experiment were provided by the use of standard methods, established in federal environmental regulatory document (PND F), verifiable measuring instruments and standard samples. …”
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344
Modern methods and materials used to treat root perforation: effectiveness comparison
Published 2024-01-01Get full text
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345
METHODS FOR QUANTITATIVE DETERMINATION OF TOTAL FLAVONOIDS IN QUERCUS ROBUR L. BUDS
Published 2021-10-01“…The research materials were aqueous-alcoholic extracts from Quercus robur L. buds with 70% ethyl alcohol which were analyzed by differential UV spectrophotometry on spectrophotometer “SF 2000” (Russia).Results. The methods for quantitative determination of total flavonoids in Quercus robur L. buds by differential UV spectrophotometry, has been developed using a standard sample of cynaroside at the analytical wavelength of 400 nm. …”
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346
The Culprit of Bias for Paleointensity Estimation in the Shaw‐Type Protocol and an Innovative Calculation Method
Published 2024-07-01“…Combined with a curve fit technique for samples with “folding" phenomenon, the LoRD‐Shaw method yields high‐accuracy results in all tested samples, demonstrating its efficiency in mitigating paleointensity bias from thermal alteration. …”
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347
A comparison among Different Methods for Estimating Regression Parameters with Autocorrelation Problem under Exponentially Distributed Error
Published 2020-09-01“…We have employed the simulation studies and calculated the statistical standard mean squares error with sample sizes (15, 30, 60, 100). Further we applied the best method on the real experiment data representing the varieties of cigarettes according to the US Federal Trade Commission.…”
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348
Improved method of non-intrusive load monitoring based on compressed sensing
Published 2025-09-01“…Experiment shows that the NILM-CS and its improved methods proposed in this paper are reasonable. …”
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349
Local Differential Privacy Graph Data Modeling Method for Link Prediction
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350
A New BiRNN-SVA Method for Side Lobe Suppression
Published 2024-01-01“…The experimental results demonstrate that the BiRNN-SVA method can be applied to data at any Nyquist sampling rate and has superior PSLR and ISLR compared to the GSVA algorithm and MSVA algorithm. …”
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351
Real-time temperature prediction of large-scale lithium battery module driven by data based on few measurement points
Published 2025-05-01“…To maximize data efficiency and minimize computational costs, we employ the Latin hypercube sampling (LHS) method to design a small but representative temperature database. …”
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352
Data quality optimized online task allocation method for mobile crowdsensing
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353
Kinematic calibration and accuracy compensation method for embodied intelligent disinfection robot
Published 2025-03-01“…Second, the moving region is divided and the feature point data is sampled. Third, an error identification algorithm based on least square method is proposed, and the identification is realized by sampling data. …”
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354
Kinematic calibration and accuracy compensation method for embodied intelligent disinfection robot
Published 2025-03-01“…Second, the moving region is divided and the feature point data is sampled. Third, an error identification algorithm based on least square method is proposed, and the identification is realized by sampling data. …”
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355
Designing the organizational schizophrenia phenomenon formation pattern with the TISM phase method
Published 2025-03-01“…Using the snowball sampling method and based on the principle of theoretical adequacy, 20 of them were considered as the research sample. …”
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356
ROLLING BEARING FAULT DIAGNOSIS METHOD BASED ON CONVOLUTIONAL DEEP FOREST
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357
A malware classification method based on directed API call relationships.
Published 2025-01-01“…Our method has been rigorously evaluated through extensive experiments on two real-world malware datasets. …”
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358
Research on the Local Dynamic Trajectory Planning Method Based on Relative Positioning
Published 2023-04-01“…Therefore, this paper proposes a local dynamic trajectory planning method based on relative positioning. First, the grid sampling is performed in the vehicle curve coordinate system, and the candidate path set in the vehicle coordinate system is obtained after coordinate transformation. …”
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359
Textile fabrics abrasion resistance – The instrumental method for end point assessment
Published 2025-06-01“…The article presented a new instrumental method for assessing abrasion resistance. The method, based on image analysis techniques, allows identifying the end point of abrasion test without a constant examination of sample surface, without constantly examining the sample surface. …”
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360
Transmission Lines Insulator State Detection Method Based on Deep Learning
Published 2025-01-01“…Therefore, to achieve automation in insulator state detection, this paper proposes a method based on deep learning for insulator state detection in transmission lines. …”
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